Jerry
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My...
My Clients
My Past Clients
McKinsey & Co (1926)
Seven S McKinsey Framework
Structure
Networks
Types of Network
Neural Networks
Attachments
Neural network
Parents
A Logical Calculus of Ideas Immanent in Nervous Activity (1943)
Brains
Complex Adaptive Systems (CAS)
Connectionism
Feedforward
Hebbian Learning (1949)
Machine Learning (ML)
Simulating Brain Function
Types of Network
Children
20Q
A Few Researchers Kept at It, Made Progress, and Revived Interest in Neural Networks
Applications of Neural Networks
Articles About Neural Networks
Catastrophic Forgetting
Connection Topologies (neural network architectures)
David Rumelhart
Deep Learning (computing)
DNNresearch
Generative Models
Geoffrey (Geoff) Hinton
History of Artificial Neural Networks
How Do Neural Networks Work?
John Hopfield
Large Language Models (LLMs)
Learning from Less Data and Building Smaller Models
Michael Hines
Networks with Memory
Neugents
Neural Net Vendors
Neural Networks Can't Offer Logic for Their Conclusions
Neuralizer (NNet Visualization Tool)
Neuro-Symbolic AI (Neurosymbolic)
Neuroevolution
Neuromorphic Computing
Neuron (software)
Perceptrons Killed off Early Neural Network Research; Most Then Focused on Expert Systems
Simulating the Rat Olfactory Cortex with Neural Networks
Terry Sejnowski
Threshold Functions
Vlad Vapnik
Warren McCulloch
What's the Difference between Artificial Intelligence, Neural Networks, Machine Intelligence, Deep Learning, Etc?
Yann LeCun